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PIXELOKAY / IMAGE STUDIO

Sketch to Image AI

Draw a concept, add an existing sketch, and turn its lines into polished illustration artwork. Choose a reliable local finish or supply a compatible neural model for experimental AI translation.

01 / YOUR IDEA

Sketch canvas

SKETCH EDITOR 768 × 512
Draw with mouse, pen or touch
Start drawing, or import a sketch.
02 / CREATE

Finish your artwork

Rendering engine

Creates polished line-based artwork using local illustration algorithms. This mode is not neural AI generation.

70%

Keeps your strokes recognizable. Higher values retain more sketch texture.

Saved with your artwork metadata. The local renderer does not interpret text prompts.

No credits or account. Editable project files stay on your device; model hosts receive only model download requests.

Created in your browser. Controlled by you.

✎ Edit your idea

Draw, trace, erase, undo or upload a sketch. Your canvas stays editable.

◈ Explore styles

Choose a quick, reliable illustration finish with no large model download.

◉ Neural experiments

Bring a compatible free ONNX pix2pix model to explore domain-specific sketch translation.

What can Sketch to Image AI really do?

Illustration finish is deterministic local rendering, not generative AI. Neural mode runs a user-provided compatible ONNX image translation model in the browser; it does not support arbitrary models or guarantee beautiful, semantic images. A sketch cannot be reliably turned into a photorealistic scene without a large, trained generative model. Only click Generate when ready to load the optional runtime.

Using Sketch to Image AI

Draw or import a sketch and choose a local illustration finish. For experimental neural translation, supply a compatible trusted trained ONNX model before creating artwork. Save the editable project separately from the exported result image.

No universal sketch-to-image weights are bundled. Neural mode requires a user-supplied model with the documented tensor contract and downloads ONNX Runtime; HTTPS model URLs also require CORS. It is not Stable Diffusion, ControlNet or prompt-guided text-to-image generation. Text notes do not steer neural inference. The canvas/output is 768×512; project JSON embeds the sketch/settings/notes and can contain private content.

References: ONNX Runtime

Finish a sketch with local controls or a supplied ONNX model

Open a sketch and choose the conventional illustration finish, or explicitly configure a compatible ONNX model for experimental neural inference. Text notes are for your project and do not act as a prompt that steers model output.

Example workflow

  1. Open a sketch and choose a conventional finish to establish color and line treatment.
  2. If you have a compatible model, select neural mode and review the model requirements before loading it.
  3. Compare the 768 × 512 result with your sketch, then export the image or save the project JSON for editable settings and sketch data.

Authored example: Use a simple hand-drawn house outline and add a note such as “warm evening palette.” The note remains project text; evaluate whether conventional controls or a separately configured model meet the visual goal.

Limits and model handling: No universal trained sketch model is bundled. A user-supplied ONNX file or HTTPS model URL must be trusted; remote URLs require CORS and may send a request to that host. Neural mode loads ONNX Runtime externally. Project JSON can contain the sketch and private notes.

Sketch to Image AI questions

Can a text note guide the generated image?

No. Notes are stored with the project and do not steer neural inference.

Does the tool include a ready-to-use sketch model?

No. Neural mode requires a compatible model that you supply; conventional illustration controls remain a separate path.

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